基于子视数据相关性的极化合成孔径雷达图像噪声抑制

doi:10.3969/j.issn.1000-1093.2015.07.018

兵工学报 ›› 2015, Vol. 36 ›› Issue (7): 1288-1294.doi: 10.3969/j.issn.1000-1093.2015.07.018

基于子视数据相关性的极化合成孔径雷达图像噪声抑制

刘坤，马文萍，刘红英

(西安电子科技大学智能感知与图像理解教育部重点实验室智能感知与计算国际联合研究中心, 陕西西安 710071)

收稿日期:2015-06-12 修回日期:2015-06-12 上线日期:2015-09-21
作者简介:刘坤（1985—），男，博士研究生
基金资助:
国家自然科学基金项目（61271302、61173092）；高等学校学科创新引智计划项目（B07048）；教育部新世纪优秀人才支持计划项目（NCET-11-0692）

Speckle Suppression of Polarimetric Synthetic Aperture Radar Images Based on Sublook Data Correlation

LIU Kun, MA Wen-ping, LIU Hong-ying

(International Research Center for Intelligent Perception and Computation, Key Laboratory of Intelligent Perception andImage Understanding of Ministry of Education, Xidian University, Xi’an 710071, Shaanxi, China)

Received:2015-06-12 Revised:2015-06-12 Online:2015-09-21

摘要/Abstract

摘要： 基于极化合成孔径雷达（PolSAR）的子视数据相关性提出了一种新的非局部滤波器。非局部算法在一个较大的空域中搜寻待滤波元素所在图像块的相似图像块，并以基于它们的相似程度来对图像数据进行加权滤波。因而相似度计算在非局部滤波器里起到至关重要的作用。PolSAR图像子视数据之间的相关性包含有较对应的多视数据点之间更多的信息，这些信息有利于更加精准的计算非局部滤波器中相似度的估计。新提出的滤波器通过假设检验来估计两组子视数据集是否同质，并以此为依据估计图像块之间的相似性。通过对同质区域的加权滤波实现对PolSAR数据的噪声抑制。对比实验证实了新提出的滤波器的有效性和优异性能。

关键词: 信息处理技术, 遥感图像, 极化合成孔径雷达, 相干斑, 非局部, 子视数据, 假设检验

Abstract: A new non-local filter based on the sublook data correlation is proposed for the speckle suppression of multilook polarimetric synthetic aperture radar (PolSAR). Non-local techniques search for patches similar to the reference patch in a spatially extended neighborhood, and process the image with weighted averaging method based on the similarity. Therefore, similarity measurement plays an important role for non-local approaches.The sublook data of multilook PolSAR samples contain more correlation information than just the samples themselves, which could benefit the effectiveness of the similarity measurement in non-local filters. The proposed filter measures the correlation of two groups of sublook data in order to find the patch-based similarity. Then the homogeneous samples are selected to suppress the speckle based on the similarity. Experimental results and comparison with other filters illustrate an outstanding performance of the proposed filter.

Key words: information processing technology, remote sensing image, polarimetric synthetic aperture radar, speckle, non-local, sub-look data, hypothesis test

中图分类号:

TN957

刘坤，马文萍，刘红英. 基于子视数据相关性的极化合成孔径雷达图像噪声抑制[J]. 兵工学报, 2015, 36(7): 1288-1294.

LIU Kun, MA Wen-ping, LIU Hong-ying. Speckle Suppression of Polarimetric Synthetic Aperture Radar Images Based on Sublook Data Correlation[J]. Acta Armamentarii, 2015, 36(7): 1288-1294.

参考文献

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基于子视数据相关性的极化合成孔径雷达图像噪声抑制

Speckle Suppression of Polarimetric Synthetic Aperture Radar Images Based on Sublook Data Correlation

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